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MIT OpenCourseWareMIT MAS.531/MAS.131 Computational Camera and Photography, Fall 2009 (2009)

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Instructor: Prof. Ramesh Raskar

Course Description:
A computational camera attempts to digitally capture the essence of visual information by exploiting the synergistic combination of task-specific optics, illumination, sensors and processing. In this course we will study this emerging multi-disciplinary field at the intersection of signal processing, applied optics, computer graphics and vision, electronics, art, and online sharing through social networks. If novel cameras can be designed to sample light in radically new ways, then rich and useful forms of visual information may be recorded รข beyond those present in traditional photographs. Furthermore, if computational process can be made aware of these novel imaging models, them the scene can be analyzed in higher dimensions and novel aesthetic renderings of the visual information can be synthesized.

We will discuss and play with thermal cameras, multi-spectral cameras, high-speed, and 3D range-sensing cameras and camera arrays. We will learn about opportunities in scientific and medical imaging, mobile-phone based photography, camera for HCI and sensors mimicking animal eyes. We will learn about the complete camera pipeline. In several hands-on projects we will build physical imaging prototypes and understand how each stage of the imaging process can be manipulated.

View the complete course at: http://ocw.mit.edu/MAS-531F09

More information at ocw.mit.edu/terms
Album art image by Prof. Ramesh Raskar.


This audio is part of the collection: MIT OpenCourseWare
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Artist/Composer: MIT OpenCourseWare
Date: 2009
Keywords: digital photography; digital imaging; image processing; applied optics; computer graphics; computer vision

Creative Commons license: Attribution-Noncommercial-Share Alike 3.0


Individual Files

Whole Item FormatSize
[generated M3U] M3U Stream 
Audio Files VBR MP3 Ogg Vorbis
Lecture 1: Introduction and fast-forward preview of all topics - Part 1 19.2 MB 
30.2 MB 
Lecture 1: Introduction and fast-forward preview of all topics - Part 2 14.9 MB 
23.4 MB 
Lecture 2: Modern optics and lenses; ray-matrix operations; context enhanced imaging - Part 1 12.9 MB 
20.1 MB 
Lecture 2: Modern optics and lenses; ray-matrix operations; context enhanced imaging - Part 2 22.8 MB 
35.2 MB 
Lecture 3: Epsilon Photography: Improving Film-like Photography 14.7 MB 
22.7 MB 
MITMAS_531F09_lec03_2.mp3 8.8 MB 
13.4 MB 
Lecture 4: Computational Illumination: dual photography, relighting - Part 1 24.9 MB 
38.6 MB 
Lecture 4: Computational Illumination: dual photography, relighting - Part 2 8.2 MB 
12.5 MB 
Lecture 5: Lightfields, part 1 - Part 1 15.1 MB 
22.7 MB 
Lecture 5: Lightfields, part 1 - Part 2 14.4 MB 
21.6 MB 
Lecture 5: Recent research: Retrographic Sensing for the Measurement of Surface Texture and Shape 6.5 MB 
9.7 MB 
Lecture 6: Lightfields, part 2 19.5 MB 
29.1 MB 
Lecture 6: Recent research: BiDi Screen 6.6 MB 
10.0 MB 
Lecture 6: Cameras for human-computer interaction (HCI) 11.7 MB 
17.8 MB 
Lecture 8: Project ideas discussion 3.5 MB 
5.3 MB 
Lecture 8: Wavelengths and colors 19.5 MB 
30.6 MB 
Lecture 8: Survey of Hyperspectral Imaging Techniques 13.6 MB 
21.2 MB 
Lecture 9: Computational imaging: a survey of medical and scientific applications 20.1 MB 
31.8 MB 
Lecture 9: "Cameras We Cannot Picture": a survey of the computational imaging field 13.4 MB 
21.0 MB 
Lecture 11: Coded imaging 18.9 MB 
30.0 MB 
Information FormatSize
MITMAS_531F09_files.xml Metadata [file] 
MITMAS_531F09_meta.xml Metadata 2.3 KB 

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